Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14561EE318884DC3350E393EC52B65A0E1BE9C345CA170A19E6F9D3ED2FC3C69CE62194 |
|
CONTENT
ssdeep
|
48:CeollurlxcL8lG5Gt4MCthcvnQeuuVHzuRkXolMoVfB1shv+KBmK:kX8N40v0uVHzuRVlDVfM+O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec3c93936c2cc3c3 |
|
VISUAL
aHash
|
bffff393f3f3ffff |
|
VISUAL
dHash
|
6628e626a6a68886 |
|
VISUAL
wHash
|
3e1e721272727e70 |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
6628e626a6a68886,c3d3c1e5a6667533 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)